EchoBridge

Inspiration

Many people with speech impairments, trauma, or social anxiety face significant barriers communicating verbally. We wanted to build a tool that gives them a powerful, AI-powered voice — enabling confident, clear, and respectful expression in real time.

What it does

EchoBridge transforms typed messages into polite, well-phrased text using AWS Bedrock’s generative AI, then speaks them aloud naturally via Amazon Polly. It detects the user’s language with Amazon Comprehend to deliver speech in the correct tongue — breaking communication barriers instantly.

How we built it

We built EchoBridge as a React frontend app integrating AWS services directly with the AWS SDK. Bedrock handles AI text rewriting, Polly generates lifelike speech, and Comprehend detects language, with quick-phrase buttons to speed communication.

Challenges we ran into

Navigating AWS Bedrock’s model access and permission setup took time.
Achieving natural-sounding speech within Polly’s free-tier voices required experimentation.
Balancing UI simplicity with accessibility for users was essential but challenging.

Accomplishments that we're proud of

Delivered a fully working, real-time voice assistant that can rewrite and speak text with AWS AI services.
Implemented automatic language detection to support multilingual users seamlessly.
Created a clean, accessible UI optimized for speed and ease of use by people with speech difficulties.
Achieved all core features within tight hackathon timelines, demonstrating a production-ready solution.

What we learned

Best practices for AWS Polly speech synthesis to maximize naturalness on limited free voices.
The importance of accessibility and real-time feedback in AI-powered communication tools.
New powerful amazon services

What's next for EchoBridge

Add voice input and transcription for hands-free interaction.
Expand to support more AWS Bedrock models for advanced rewriting styles.
Deploy backend Lambda functions for secure token management and additional processing.
Integrate with IoT devices or wearables to help users communicate on the go.
Add personalized tone and vocabulary profiles for users.
Explore offline capabilities and edge computing to improve availability.